Survey Sampling for Quality Control

This is my first SAS paper I prepared for 2014 SAS Global Forum and presented on March 23, 2014. The idea comes from a JSM working paper which uses box-and-whisker outliers to re-stratify the total population for sampling. The final sample size is still determined by optimal allocation which takes account of the size of each stratum, the expected variance and survey cost. I implemented my idea by applying SAS and people interested in my idea are welcome to use the SAS macro shared in the appendix of this paper.